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Internship Computer Vision Robotics Jobs in New York

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$117.20K - $138.30K/yr

The company Norbert is building autonomous robots that deliver healthcare. Our AI sensing platform ... What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143.90K/yr

The company Norbert is building autonomous robots that deliver healthcare. Our AI sensing platform ... What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143.90K/yr

The company Norbert is building autonomous robots that deliver healthcare. Our AI sensing platform ... What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

Experience with reinforcement learning and computer vision applied to robotics * Familiarity with machine learning applied to robotics, experimentation, or optimization * Prior startup experience or ...

Experience with reinforcement learning and computer vision applied to robotics * Familiarity with machine learning applied to robotics, experimentation, or optimization * Prior startup experience or ...

Experience with reinforcement learning and computer vision applied to robotics * Familiarity with machine learning applied to robotics, experimentation, or optimization * Prior startup experience or ...

Physical AI Senior Manager

Stamford, CT

$134.90K - $178.10K/yr

Computer vision for industrial environments (e.g., inspection, defect detection, safety, tracking, manufacturing assembly) * Robotics and autonomy (e.g., industrial robotics, mobile robotics and AMRs ...

Physical AI Senior Manager

Morristown, NJ · On-site

$130.20K - $171.80K/yr

Computer vision for industrial environments (e.g., inspection, defect detection, safety, tracking, manufacturing assembly) * Robotics and autonomy (e.g., industrial robotics, mobile robotics and AMRs ...

Physical AI Senior Manager

New York, NY · On-site

$138.40K - $182.70K/yr

Computer vision for industrial environments (e.g., inspection, defect detection, safety, tracking, manufacturing assembly) * Robotics and autonomy (e.g., industrial robotics, mobile robotics and AMRs ...

Work on robotic picking, lightweight computer vision, automated packaging, and labeling systems ... internship sits at the intersection of: * AI * robotics * industrial design * operational ...

Work on robotic picking, lightweight computer vision, automated packaging, and labeling systems ... internship sits at the intersection of: * AI * robotics * industrial design * operational ...

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Internship Computer Vision Robotics information

What are the key skills and qualifications needed to thrive as an Internship Computer Vision Robotics, and why are they important?

To thrive in an Internship Computer Vision Robotics role, you typically need a solid background in computer science, mathematics, and robotics, often supported by coursework or projects in machine learning and image processing. Familiarity with programming languages like Python or C++, and experience using tools such as OpenCV, ROS, and deep learning frameworks (e.g., TensorFlow or PyTorch) are commonly required. Strong problem-solving, teamwork, and effective communication skills set candidates apart in multidisciplinary environments. These skills are essential for developing innovative solutions and collaborating on complex robotics projects.

What types of projects and technologies will I typically work on during an internship in computer vision robotics?

As an intern in computer vision robotics, you will often work on hands-on projects involving tasks like object detection, image segmentation, sensor data processing, or robotic navigation. You may use programming languages like Python or C++, and frameworks such as OpenCV, ROS (Robot Operating System), and TensorFlow or PyTorch for machine learning components. Interns collaborate closely with engineers and researchers, participating in code reviews, testing algorithms on real or simulated robots, and troubleshooting system integration. This role offers exposure to both software development and hardware interaction, providing a comprehensive experience in robotics and computer vision.

What are Internship Computer Vision Robotics positions?

Internship Computer Vision Robotics positions are temporary roles designed for students or early-career professionals to gain practical experience in applying computer vision techniques within robotic systems. Interns in these roles typically work on projects involving image processing, object detection, 3D vision, and integrating visual data into robotic control systems. These internships help candidates build technical skills, gain exposure to real-world robotics challenges, and often require knowledge of programming languages such as Python or C++, as well as familiarity with machine learning frameworks. They are commonly offered by research labs, tech companies, and robotics startups.

What is the difference between Internship Computer Vision Robotics vs Internship Machine Learning?

AspectInternship Computer Vision RoboticsInternship Machine Learning
Required CredentialsRelevant coursework, basic programming skills, familiarity with robotics and vision toolsProgramming skills, math background, familiarity with algorithms and data analysis
Work EnvironmentRobotics labs, hardware integration, software developmentData analysis, software development, research environments
Employer & Industry UsageRobotics companies, research labs, tech firms working on autonomous systemsTech companies, research institutions, AI startups

Internship Computer Vision Robotics focuses on developing systems that enable robots to interpret visual data, combining hardware and software skills. In contrast, Internship Machine Learning emphasizes designing algorithms to analyze data and build predictive models. Both roles require programming knowledge but differ in their application areas and work environments.

What are popular job titles related to Internship Computer Vision Robotics jobs in New York? For Internship Computer Vision Robotics jobs in New York, the most frequently searched job titles are:
What job categories do people searching Internship Computer Vision Robotics jobs in New York look for? The top searched job categories for Internship Computer Vision Robotics jobs in New York are:
What cities in New York are hiring for Internship Computer Vision Robotics jobs? Cities in New York with the most Internship Computer Vision Robotics job openings:
Infographic showing various Internship Computer Vision Robotics job openings in New York as of May 2026, with employment types broken down into 3% As Needed, 19% Full Time, 69% Part Time, 1% Temporary, 6% Contract, and 2% Nights. Highlights an 43% Physical, 1% Hybrid, and 56% Remote job distribution.
Computer Vision/ML Engineer

Computer Vision/ML Engineer

Norbert Health

Brooklyn, NY • On-site

$117.20K - $138.30K/yr

Full-time

Posted 23 days ago


Job description

The company

Norbert is building autonomous robots that deliver healthcare.

Our AI sensing platform mounts on mobile robots and does the work of a care team member-rounding on patients, capturing vitals without contact (FDA-cleared for pulse and respiratory rate, more in the pipeline), running assessments, documenting to the EMR, and escalating when something's wrong. Autonomously.

We're not building demos. We're deployed in real facilities today, monitoring hundreds of patients daily. We're solving one of healthcare's hardest problems: a global nursing shortage that will hit 40% by 2030.

We're a small, international team backed by top-tier VCs, with offices in Brooklyn and Paris. We ship things that matter.

The position

We are looking for our lead deep learning engineer to spearhead the development of our groundbreaking sensing technology.

What you will do:
  • Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge
  • Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton
  • Build and maintain MLOps pipelines for model training, validation, and performance monitoring
  • Develop video processing pipelines that integrate with both classical signal processing and ML based vital sign extraction
  • Establish engineering best practices and help reduce technical debt as we scale
  • Contribute to the architecture and implementation of the computer vision stack from research to production
What we look for:
  • Master's or PhD degree in Machine learning / Computer vision
  • Strong fundamentals: data structures, CV algorithms, and systems programming
  • Strong C++ skills - this is critical for our edge deployment pipeline
  • Solid Python proficiency for ML experimentation and tooling
  • Ability to work independently, solve complex problems, and drive projects to completion
  • 5+ years experience deploying computer vision models to production, ideally on resource-constrained devices
  • Experience with PyTorch and model optimization for edge AI
  • Proven ability to take models from research to production on embedded hardware

Nice to haves:

  • Experience with NVIDIA Jetson platform, TensorRT, or Triton Inference Server
  • MLOps experience (experiment tracking, model versioning, performance monitoring)
  • Experience with sensor fusion (RGB, IR, depth cameras)
  • Background in medical devices, regulated environments, or healthcare applications
  • Experience working in fast-moving early-stage environments
What we offer:
  • Real impact: your code provides care for patients today
  • High autonomy and technical ownership - you'll shape our computer vision architecture
  • Work at the intersection of cutting-edge AI, edge computing, and healthcare
  • A talented, excellent, diverse and international team
  • Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing
  • Talented, international team tackling meaningful problems in remote patient monitoring
  • Competitive salary and equity
  • Transparent, mission-driven culture focused on continuous learning
Employment Type: FULL_TIME